Family Study of Risk for Alcoholism Over the Life Course

描述（由申请人提供）：这项前瞻性高风险家庭研究，密歇根纵向研究（MLS）始于27年前，旨在描述入学前开始的儿童（第二代或G2s）酒精使用障碍（AUD）风险的发展特征，目的是检测是否可以很早就识别出后期障碍的风险标志，以表征已识别的风险因素在童年和成年早期的演变。并确定风险发展的调节者和调节者，以指导预防或早期干预规划。父母（G1s）的目的是确定预测复发、缓解和社会适应的因素。该项目是目前活跃的最早开始（3岁）AUD高风险研究，并且涉及对酒精/其他药物使用的最长跨度的前瞻性评估之一。它的数据矩阵包括对行为、认知和心理功能、社会环境、物质使用/滥用和精神症状等变量网络的重复测量。它还与其他5个利用MLS作为其招聘，数据管理和概念核心的项目交叉数字化，并共享所有数据。这项更新申请建议继续将G1作为研究中科学上最独特的部分进行表征，将G1评估限制在表征G2s社交环境的关键措施上。从学龄前开始就对G2s进行评估，从发病开始就对饮酒/其他药物使用情况进行评估。继续收集这些数据将有助于评估与早期药物使用相互作用的前兆风险对后期行为的预期影响。我们打算在G2s中充分描述两个关键问题：1)识别导致无精神合并症的AUD结果的发育风险途径，与涉及合并症外部性或内部性诊断的发展风险途径形成对比；(目标1);2)确定预测成年初期弹性（非酒精滥用）结果的因素，尽管预先暴露于逆境（目标2）。此外，我们打算利用核心研究及其分支合作项目提供的综合多域数据矩阵，建立跨基因、神经网络、社会环境和发展水平的问题酒精使用和AUD的关键风险和弹性表型的机制结构的跨水平发展模型（目标3）。为了充分利用研究的成熟性，我们还将使用广泛的多波数据库来描述g15中的一个关键问题：评估酒精消费负担对成年中后期认知功能的长期影响（目的4）。有了超过一代的实时信息，该项目将能够在27年的时间里对这些影响进行前瞻性评估。最后，我们打算提供现在非常长期的纵向数据库作为该领域的资源。因此，我们的最终目标是

DESCRIPTION (provided by applicant): This prospective high-risk family study, the Michigan Longitudinal Study (MLS) began 27 years ago to characterize the development of risk for alcohol use disorder (AUD) among children (2nd generation or G2s) beginning prior to school entry, with the aims to detect whether risk markers of later disorder could be identified very early, to characterize the evolution of identified risk factors over the course of childhood and early adulthood, and to identify mediators and moderators of risk development that could guide prevention or early intervention programming. Aims for the parents (G1s) were to identify factors that predict relapse, remission, and social adaptation. The project is the earliest beginning (age 3) high risk for AUD study currently active, and involves one of the longest spans of prospective assessment of alcohol/other drug use. Its data matrix involves repeated measurement of a variable network of behavioral, cognitive, and psychological functioning, social environment, substance use/abuse, and psychiatric symptoms. It is also interdigitated with 5 other projects which utilize the MLS as their recruitment, data management, and conceptual core, and share all data. This renewal application proposes continued characterization of G2s as the scientifically most unique segment of the study, limiting G1 assessments to measures critical to characterizing the socialization environment of G2s. G2s have been assessed since preschool and drinking/other drug use is assessed from time of onset. Continued collection of these data will allow evaluation of the prospective effects of precursive risk, in interaction with early substance use, upon later behavior. We intend to fully characterize two critical issues in G2s: 1) Identification of the developmental risk pathways that lead to an AUD outcome without psychiatric comorbidity as contrasted with one involving a comorbid externalizing or internalizing diagnosis; (Aim 1); and 2) Identification of the factors that predict a resilient (non-alcohol abusing) outcome in emerging adulthood, despite precursive exposure to adversity (Aim 2). Furthermore, we intend to take advantage of the comprehensive multi-domain matrix of data available from the core study and its offshoot partner-projects to build cross-level, developmental models of mechanistic structure for critical risk and resilience phenotypes for problem alcohol use and AUD across levels of genes, neural networks, social environment, and development (Aim 3). In order to fully capitalize on the maturity of the study, we will also use th extensive multi-wave database to characterize a critical issue in the G1s: evaluating the long term effects of alcohol consumption burden upon cognitive function in middle to later adulthood (Aim 4). With more than a generation of real time information the project will be able to prospectively evaluate these effects over the course of 27 years. Finally, we intend to provide the now very long-term longitudinal database as a resource for the field. Thus, our final aim is to establish a project development program involving meetings adjunctive to RSA and CPDD for investigators to share data and issues, with the goal of developing a collaborative network (Aim 5).